Driven by Data, The Newsletter | Edition 7

Hello and welcome to your weekly supply of insights, news, and fun from the Orbition Group content team.

We can't believe we're almost in May, where is this year going? We're so excited to have just passed 1k newsletter subscribers! Hello to our new readers, we're so glad to have you here.

Let's dive into the final week in April, where we have lots in store!

Driven by Data, the Podcast

In Episode 25 of Season 3, of Driven By Data: The Podcast, we were joined by Danny Gardner , Social Intelligence Lead at Haleon , where we discuss how to drive business value through the use of social intelligence.

Within this discussion host Kyle Winterbottom and Daniel cover, why 80% of the data from social media is just noise and why there’s information that is good to know and then there’s information that’s actionable as well as the typical use cases you see for social intelligence. Listen to the episode now!

What are the most in-demand skills in the data & analytics market?

If you missed our Livestream last week, Kyle answered lots of questions just like this one!

You can watch it back, on-demand right now...

Weekly Talent Insight: Snowflake Vs Databricks

This week is brought to you by Natalia Kurasinski

It’s an important decision, what platform to use, Snowflake or Databricks.??

This comes up in my conversation on a daily basis with the Data & Analytics community.

Which platform is more powerful and what will help with their data needs?

In my opinion, it’s very important to understand the mission of your organization before choosing which path to go down.

There are 5 key areas to think about when making these decisions which include:?

? Use Case

? Scalability?

? Pricing?

? Integration?

? Data Governance?

Now, both most certainly have the upper hand in different areas. Snowflake has built-in data governance features and the ability to handle extremely large data sets. On the other hand, Databricks has different needs where it is best suited for real-time data processing and machine learning.?

I recently published a Poll on LinkedIn to find out what my network chooses or would like to operate when starting a new role with a business.?

The result:

Snowflake – 71%?

Databricks – 29%?

The insight that I received from this, is that Snowflake is cost-effective, easy to manage, and over time, it is easy to maintain. I was also told Snowflake has the opportunity to handle your data in a more traditional sense.?

But what about Databricks??

Is it fair to compare both these platforms and what comes after both of these?

Will there be a new data platform in the next 5 years for us all to rave about?

All questions I'm keen to dive into further in the future.

That is everything for this week, now to your favourite segment... Our weekly data joke!

Why do data engineers prefer dogs to cats?

Because dogs are better at fetching data!

Thanks!

Orbition Group Content Team